Lumped Conceptual Rainfall-Runoff Models and Simple Water Balance Methods: Overview and Applications in Ungauged and Data Limited Regions

被引:27
作者
Chiew, Francis H. S. [1 ]
机构
[1] CSIRO Land & Water, GPO Box 1666, Canberra, ACT 2601, Australia
来源
GEOGRAPHY COMPASS | 2010年 / 4卷 / 03期
关键词
D O I
10.1111/j.1749-8198.2009.00318.x
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
This article provides an overview of lumped conceptual rainfall-runoff models and simple water and energy balance methods, with a focus on practical model applications to estimate runoff in gauged and ungauged catchments over large regions and to predict climate change impact on future runoff. The models are applied to a large data set across south-eastern Australia to explore the effectiveness of the different model types under varying data availability. The conceptual rainfall- runoff models are relatively simple tools for predicting runoff in catchments and large regions with sufficient observed streamflow data to calibrate the models. In data-poor regions, the simple water balance methods can perform as well as the rainfall-runoff models, particularly where only mean annual runoff estimates for broad-scale assessments are required. Rainfall-runoff modelling is a fairly mature science, and this article provides references to previous reviews and recent key papers, particularly on regionalisation studies to predict runoff in ungauged catchments. The study also discusses some of the more significant research areas currently being pursued as well as the use of lumped conceptual rainfall-runoff models for climate change and land use impact studies.
引用
收藏
页码:206 / 225
页数:20
相关论文
共 95 条
[1]  
Abbott M. B., 1996, DISTRIBUTED HYDROLOG
[2]   AN INTRODUCTION TO THE EUROPEAN HYDROLOGICAL SYSTEM - SYSTEME HYDROLOGIQUE EUROPEEN, SHE .1. HISTORY AND PHILOSOPHY OF A PHYSICALLY-BASED, DISTRIBUTED MODELING SYSTEM [J].
ABBOTT, MB ;
BATHURST, JC ;
CUNGE, JA ;
OCONNELL, PE ;
RASMUSSEN, J .
JOURNAL OF HYDROLOGY, 1986, 87 (1-2) :45-59
[3]  
Andreassian V., 2006, IAHS PUBLICATION
[4]  
BARNES C, 2005, INT HYDROL SER, P717
[5]   Regionalisation of hydrological model parameters under parameter uncertainty: A case study involving TOPMODEL and basins across the globe [J].
Bastola, Satish ;
Ishidaira, Hiroshi ;
Takeuchi, Kuniyoshi .
JOURNAL OF HYDROLOGY, 2008, 357 (3-4) :188-206
[6]  
Bergstrom S., 1995, Computer models of watershed hydrology., P443
[7]   Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system [J].
Beven, K .
HYDROLOGICAL PROCESSES, 2002, 16 (02) :189-206
[8]   The future of distributed modelling - Special issue [J].
Beven, K ;
Feyen, J .
HYDROLOGICAL PROCESSES, 2002, 16 (02) :169-172
[9]   Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology [J].
Beven, K ;
Freer, J .
JOURNAL OF HYDROLOGY, 2001, 249 (1-4) :11-29
[10]  
Beven K.J., 2001, RAINFALL RUNOFF MODE, DOI DOI 10.1002/9781119951001